Triple

T5528045
Position Surface form Disambiguated ID Type / Status
Subject Steiner E144974 entity
Predicate hasVariant P455 FINISHED
Object Štajner E533283 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Štajner | Statement: [Steiner, hasVariant, Štajner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Štajner
Context triple: [Steiner, hasVariant, Štajner]
  • A. Shteiner chosen
    Shteiner is an alternative spelling or transliteration of the surname Steiner, which is of German origin and borne by various notable individuals.
  • B. Steiner
    Steiner is a common German-language surname borne by numerous notable individuals across fields such as music, philosophy, and science.
  • C. Stan Steiner
    Stan Steiner is an American educator and author known for his work in children's literature and literacy education.
  • D. Shteynberg
    Shteynberg is a variant spelling of the Jewish surname Steinberg, commonly found among Ashkenazi families.
  • E. Stölzl
    Stölzl is a German surname most notably associated with Gunta Stölzl, a pioneering textile artist and master at the Bauhaus.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c008f873a481909b4d9f7e2db3c37d completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f8b6c348190b7d414dc1907d09a completed March 22, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04cd6ce3c8190ac5ef4c216190266 completed March 22, 2026, 8:11 p.m.
Created at: March 22, 2026, 3:34 p.m.